Protocol for assessing the computational reproducibility of discrete-event simulation models on STARS
Heather, Amy; Monks, Thomas; Harper, Alison; Mustafee, Navonil; Mayne, Andrew;
Protocol for assessing the computational reproducibility of discrete-event simulation models on STARS
This protocol will be used to assess the computational reproducibility of published healthcare discrete-event simulation (DES) models created using Python or R. It forms part of the project STARS: “Sharing Tools and Artefacts for Reproducible Simulations in healthcare”.
- Somerset NHS Foundation Trust United Kingdom
- University of Exeter United Kingdom
Medical and health sciences, Simulation software, Health sciences, Health care sciences, FOS: Health sciences, FOS: Medical and health sciences, Health care services, Data science
Medical and health sciences, Simulation software, Health sciences, Health care sciences, FOS: Health sciences, FOS: Medical and health sciences, Health care services, Data science
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 1
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